Staff ML Engineer — End-to-End ML Infra & Product

Uber

United States

On-site

USD 232,000 - 258,000

Full time

14 days+
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Benefits offered by this job

Bonus program
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Job summary

Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. You will own your vertical end to end, from ML to backend systems and product, driving it from a blank page to revenue-generating solutions.

You will work with product managers and engineers to ship deep ML systems that customers rely on, with ownership from problem to product metrics and a focus on impact and scale.

Qualifications

  • Bachelor's or equivalent work experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
  • 5+ years of professional experience designing, building, and operating production ML systems, including strong backend engineering.
  • Track record of driving business impact, not just shipping features.
  • Fluency in Python and a production systems language such as Go, Java, or C++, and the ability to build reliable services and run them in production.

Responsibilities

  • Build the ML and backend systems that turn your vision into a product customers pay for and rely on, going as deep as the problem requires.
  • Own your vertical end to end: find the opportunities, set the direction, and drive the business metrics that matter, such as revenue, adoption, and customer value.
  • Move fast in ambiguity: prioritize ruthlessly, make the calls, and turn ideas into shipped, revenue generating products with a product manager and a small senior team.
  • Be a trusted technical partner in the customer relationship where relevant, using what you learn to grow the account.
  • Raise the bar on execution and quality so your business can scale.

Skills

Production ML systems
Backend engineering
Python
Go/Java/C++
Communication

Education

Bachelor's degree in CS/ML/Engineering
Master's or PhD (preferred)

Job description

Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. You will own your vertical end to end, from ML to backend systems and product, driving it from a blank page to revenue-generating solutions.

You will work with product managers and engineers to ship deep ML systems that customers rely on, with ownership from problem to product metrics and a focus on impact and scale.

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